In this paper, we consider the method for reconstructing a signal from a finite number of samples. In shift-invariant space framework, we derive an aproximately min-max optimal interpolator to to reconstruct a signal on an interval. An effective non-iterative algorithm for signal reconstruction is given also. Numerical examples show the effectiveness of the proposed method.

This paper presents two new evaluation methods for edge detectors. First is non-contextual and concerns the evaluation of edge detector performance in terms of detection errors. The second contextual method evaluates the performance of edge detectors in the context of image reconstruction. Both methods study the in ̄uence of image characteristics and edge detector properties on detector performa...

Method for 3D object reconstruction using several portions of 2D images from the different aspects which are acquired with image scopes included in the fiber retractor is proposed. Experimental results show a great possibility for reconstruction of acceptable quality of 3D object on the computer with several images which are viewed from the different aspects of 2D images. Keywords-3D image reco...

We review traditions and trends in optics and imaging recently arising by applying programmable optical devices or by sophisticated approaches for data evaluation and image reconstruction. Furthermore, a short overview is given about modeling of well-known classical optical elements, and vice versa, about optical realizations of classical mathematical transforms, as in particular Fourier, Hilbe...

The 3D image reconstruction method based on Projective Geometry is very attractive for practical applications because it does not require any camera calibration. It requires only the knowledge of at least 8 reference points defining two planes. We investigate here the sensitivity of the results of this method to the measurement errors in the positions of the reference points both on the image p...

We describe advanced video technologies for image reconstruction and enhancement. Sophisticated image reconstruction methodologies can enhance and improve the image quality of lower-resolution video. White Paper Advanced Media Functions

SPECT images are observation data acquired by a gamma-camera following an orbit around the patient’s body, at regularly spaced angles. A reconstructed image is the discrete representation of a slice or cross-section of the isotope distribution within the patient, transversal to the gamma-camera rotation axis. Bayesian reconstruction methods have been extensively used to reconstruct medical imag...

In contrast to X-rays, ultrasound propagates along a curved path due to spatial variations in the refraction index of the medium. Thus, for ultrasonic TOF tomography, the propagation path of the ultrasound must be known to correctly reconstruct the slice image. In this paper, we propose a new path determination algorithm, which is essentially a numerical solution of the eikonal equation viewed ...

Though designed to measure vector winds over the ocean, new imaging techniques facilitate the use of NASA Scatterometer data (NSCAT) in cryosphere studies. NSCAT provides data of unprecedented coverage, resolution, and quality which, when coupled with the scatterometer image reconstruction with filtering (SIRF) algorithm, enables images of σ at resolutions approaching 8 km over stationary targe...

| This paper examines the spatial resolution properties of penalized-likelihood image reconstruction methods by analyzing the local impulse response. The analysis shows that standard regularization penalties induce space-variant local impulse response functions, even for space-invariant tomographic systems. Paradoxically, for emission image reconstruction the local resolution is generally poore...